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Terrestrial biogeochemistry in the community climate system model (CCSM), , , , , , , , , and 5 other author(s). Journal of Physics: Conference Series, (2006)Potential of Multivariate Quantitative Methods for Delineation and Visualization of Ecoregions, and . Environmental Management, 34 (0): S39--S60 (April 2004)Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks., , , , and . Remote. Sens., 11 (1): 69 (2019)Multivariate Geographic Clustering in A Metacomputing Environment Using Globus., , , and . SC, page 5. ACM, (1999)Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets., , , and . ICCS, volume 4 of Procedia Computer Science, page 1602-1611. Elsevier, (2011)Visualizing Life Zone Boundary Sensitivities Across Climate Models and Temporal Spans., , , and . ICCS, volume 4 of Procedia Computer Science, page 1582-1591. Elsevier, (2011)Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats., , , and . ICCS, volume 4 of Procedia Computer Science, page 1612-1621. Elsevier, (2011)Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region., , , and . Frontiers Big Data, (2020)Parallel computing with Linux., and . XRDS, 6 (1): 23-27 (1999)Systematic assessment of terrestrial biogeochemistry in coupled climate-carbon models, , , , , , , , , and 3 other author(s). Global Change Biology, 15 (10): 2462--2484 (October 2009)